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NCJ Number: 249284 Find in a Library
Title: ExpertEyes: Open-source, high-definition eyetracking
Journal: Behavior Research Methods  Volume:47  Issue:1  Dated:March 2015  Pages:73-84
Author(s): Francisco J. Parada; Dean Wyatte; Chen Yu; Ruj Akavipat; Ruj Akavipat; Brandi Emerick; Thomas Busey
Date Published: March 2015
Page Count: 12
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
Grant Number: 2005-MU-BX-K076, 2009-DN-BX-K226
Document: HTML
Type: Program/Project Description; Report (Grant Sponsored); Report (Study/Research); Research (Applied/Empirical)
Format: Article; Document (Online)
Language: English
Country: United States of America
Annotation: This article describes the features of ExpertEyes, a low-cost, open-source package of hardware and software that is designed to provide portable high-definition eyetracking.
Abstract: ExpertEyes involves several technological innovations, including portability, high-definition video recording, and multiplatform software support. It was designed for challenging recording environments, and all processing is done offline to allow for optimization of parameter estimation. The pupil and corneal reflection are estimated using a novel forward eye model that simultaneously fits both the pupil and the corneal reflection with full ellipses, addressing a common situation in which the corneal reflection sits at the edge of the pupil and therefore breaks the contour of the ellipse. The accuracy and precision of the system are comparable to or better than what is available in commercial eyetracking systems, with a typical accuracy of less than 0.4° and best accuracy below 0.3°, and with a typical precision (SD method) around 0.3° and best precision below 0.2°. Part of the success of the system comes from a high-resolution eye image. The high image quality results from uncasing common digital camcorders and recording directly to SD cards, which avoids the limitations of the analog NTSC format. The software is freely downloadable, and complete hardware plans are available, along with sources for custom parts. (Publisher abstract modified)
Main Term(s): Forensic sciences
Index Term(s): Biometrics; NIJ grant-related documents; Personnel identification systems; Photographic identification; Suspect identification
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=271428

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